⚙️ For the best experience, we recommend playing in full screen mode. If you encounter any bugs, you can reload the scene from the pause menu located at the top right.

ENERMANIA an innovative serious game dedicated to scientific outreach and education. 
It is a one-of-a-kind video game designed to popularize the research work of the European project ENERMAN. This ambitious project brings together 21 partners across 10 countries with a common goal: optimizing and reducing energy consumption in large industrial sites using artificial intelligence tools.

📚 About the Project

At Resolve Studio, we had the privilege of collaborating with a talented team from ISAE-Supméca to imagine, develop, and realize ENERMANIA.

🌟 Our Choices and Hopes for Scientific Outreach

ENERMANIA was designed to serve as a platform for engaging with the public. Beyond being an effective serious game, it is particularly suitable for events such as the Fête de la Science, where researchers can interact directly with the public. This game becomes a powerful tool for conveying knowledge and fostering the essential dialogue between science and society.

The goal of this video game is to make the research conducted within the ENERMAN project accessible to a wider audience, especially high school and university students, as well as our socio-economic partners. While we couldn't include all the technical details of the research carried out over four years, ENERMANIA focuses on the addressed issues and provides clear and educational explanations.

We hope that the most curious and adventurous players will be encouraged to explore the links integrated into the game to deepen their understanding of the project's results.


Dive into a captivating gaming experience that combines fun and scientific learning. We look forward to your feedback and seeing how this game can inspire and educate future generations.

Contact and Credits

Developed by: ISAE-Supméca and Resolve Studio

Funded by: 

Link:

Resolve Studio Linkedin: https://www.linkedin.com/company/resolve-std/

Resolve studio Website: https://resolvestudio.fr/

PhD Thesis of Romain Delabeye: https://theses.fr/2023UPAST194

Ontologies and Heterogeneous Systems: https://dl.acm.org/doi/abs/10.1145/3550356.3561577#

Blind Source Separation: https://doi.org/10.1016/j.ymssp.2024.111485

PhD Thesis of AntonioBaldassarre: https://theses.fr/2023UPAST201

Energy Digital Twins: https://doi.org/10.1016/j.heliyon.2024.e27343

EnerMan Publications: https://enerman-h2020.eu/library/publications/

EnerMan Public Deliverables: https://enerman-h2020.eu/library/public-deliverables/

EnerMan Partners: https://enerman-h2020.eu/about-consortium/

Predicting industrial HVAC energy use with Bayesian Networks: https://www.sciencedirect.com/science/article/pii/S0378778824001555

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